John H. Holmes – författare

Settlement Systems in Sparsely Populated Regions: The United States and Australia provides an understanding of the special difficulties encountered by those living in sparselands and the issues facing government policy makers. This book discusses the regional aspects of human settlement as well as the regional differences in human welfare. Organized into 18 chapters, this book begins with an overview of the special set of characteristics and problems of sparsely populated regions. This text then describes the rapid changes affecting lightly populated areas. Other chapters consider the collective accessibility of any location in connection to the total national population as represented by maps of population potential. This book describes as well the more self-sufficient nucleated rural settlement of the far outback. The final chapter deals with the six general observations concerning sparsely populated lands thought to have applicability beyond just the United States and Australia. This book is a valuable resource for government policy makers.

This book constitutes the refereed proceedings of the 15th Conference on Artificial Intelligence in Medicine, AIME 2015, held in Pavia, Italy, in June 2015. The 19 revised full and 24 short papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: process mining and phenotyping; data mining and machine learning; temporal data mining; uncertainty and Bayesian networks; text mining; prediction in clinical practice; and knowledge representation and guidelines.

This book constitutes the refereed proceedings of the 15th Conference on Artificial Intelligence in Medicine, AIME 2015, held in Pavia, Italy, in June 2015. The 19 revised full and 24 short papers presented were carefully reviewed and selected from 99 submissions. The papers are organized in the following topical sections: process mining and phenotyping; data mining and machine learning; temporal data mining; uncertainty and Bayesian networks; text mining; prediction in clinical practice; and knowledge representation and guidelines.

This book constitutes the refereed proceedings of the 16th Conference on Artificial Intelligence in Medicine, AIME 2017, held in Vienna, Austria, in June 2017.The 21 revised full and 23 short papers presented were carefully reviewed and selected from 113 submissions. The papers are organized in the following topical sections: ontologies and knowledge representation; Bayesian methods; temporal methods; natural language processing; health care processes; and machine learning, and a section with demo papers.